With the development of the era of big data, schools and parents pay more and more attention to the education of students. Home-school co-education means that the school and the family jointly undertake the education and guidance of students. Schools are important training bases for those talents adapting to social development and the needs of students in the new era. The family-school co-education in universities meets the requirements of cultivating innovative and high-quality talents. The purpose of this article is to study the construction of a new pattern of home-school education community based on data mining. From the perspective of education big data, this article drives the realization of home-school co-education by analyzing the results of case studies on the realization of home-school co-education in schools. This article uses survey and interview methods, through 720 students, teachers and parents to analyze the problems existing in family and school education, and use the We Chat platform to promote the construction of specific models and countermeasures for the home-school education community. The results of the experiment show that the emergence of problems such as cooperation but ineffectiveness, and existence in name in the process of home-school cooperative education can be due to the subjective problems of students, parents, and teachers, as well as external objective factors. But the overall trend is that more than 90% of parents and teachers are willing to use big data for home-school education, and use We Chat and other methods to communicate.